Google Maps Email Extractor - Enrich Maps Leads with Emails & Socials

Already scraped businesses from Google Maps? Add their website emails, phone numbers, social profiles, contact pages, and tech stack - with the source page for every value and an explainable 0-100 lead score. Drop in an Apify dataset ID from any Google Maps scraper run, paste a JSON/CSV export, or just list websites. $7.00 per 1,000 enriched businesses.

This Actor enriches an existing business list. It does not search Google Maps. Run a Maps discovery scraper first (for example Apify's Google Maps Scraper), then pass its dataset ID here.

What can this Google Maps email extractor do?

• Read Google Maps datasets directly - pass one or more Apify dataset IDs (private datasets work with your token). Business name, category, address, city, country, phone, rating, review count, and Maps URL are mapped automatically and the full source row is kept in originalRecord.
• Import JSON, JSON Lines, or CSV exports from any Maps tool, or plain website URLs.
• Extract same-domain business emails - visible addresses, mailto: links, and [at] / [dot] obfuscations; free-mail and unrelated domains are filtered out.
• Extract phones and social profiles - LinkedIn, Facebook, Instagram, X/Twitter, YouTube, TikTok, Threads.
• Scan key pages - homepage plus contact, about, team, pricing, support, and demo pages (up to 20 per site).
• Detect technologies - WordPress, Shopify, Wix, Webflow, Squarespace, WooCommerce, GA4, GTM, Meta Pixel, HubSpot, Klaviyo, Stripe, Intercom, and more (29 signatures).
• Show evidence - every email, phone, social link, and technology comes with the sourceUrl where it was found.
• Explainable lead score - leadScoreBreakdown lists each signal and its points. No AI guesswork.
• Deduplicate businesses by place ID or website + name + address before billing.

What data can I extract?

Field	Description
businessName, businessCategory, address, city, country	From your Maps records
rating, reviewsCount, mapsPhone, mapsUrl	From your Maps records
emails[], phones[]	Found on the business website
linkedinUrl, facebookUrl, instagramUrl, twitterUrl, youtubeUrl, tiktokUrl, socialLinks[]	Social profiles
contactPageUrl, aboutPageUrl, pricingPageUrl	Key pages
technologies[], cms, ecommercePlatform, tool lists by category, usesWordPress, usesShopify, ...	Tech stack
leadScore, leadScoreBreakdown[]	0-100 score and its signals
evidence[]	field, value, sourceUrl for each extracted value
originalRecord, sourceDatasetId, sourceIndex	Join keys back to your source data
domain, finalUrl, title, metaDescription, matchedPages[], pageWarnings[]	Website context

Key-value store: SUMMARY (leads selected, output, leads with email, failures), ERRORS, and UNENRICHED (records with no usable website or a failed fetch - not billed).

How much does it cost?

Pay-per-event: $0.007 per enriched business row ($7.00 per 1,000) plus a tiny Actor-start fee. Multiple contacts on one business do not add charges. Businesses with no website, duplicates, and failed websites are not billed - they go to UNENRICHED / ERRORS. A successfully processed website is billable even if it publishes no email. Use maxBusinesses and the run's maximum charge to cap spend. Check the Pricing tab for current rates.

How to get emails from Google Maps results

1. Run a Google Maps scraper (for example "dentists in Austin") and copy the run's dataset ID.
2. Paste it into Google Maps dataset IDs (add your API token only if the dataset is private). Clear the example URLs.
3. Set maxBusinesses and, optionally, maxPagesPerSite (default 4).
4. Click Start, then export to CSV/Excel or push to your CRM. Filter on emails, leadScore, or technology flags.

Input example

{
  "datasetIds": ["YOUR_GOOGLE_MAPS_DATASET_ID"],
  "urls": [],
  "maxBusinesses": 500,
  "datasetItemLimit": 1000,
  "includeLinkedPages": true,
  "maxPagesPerSite": 4,
  "extractEmails": true,
  "extractPhones": true,
  "detectTechnologies": true
}

Output example

{
  "businessName": "Example Dental Practice",
  "businessCategory": "Dentist",
  "city": "London",
  "rating": 4.7,
  "reviewsCount": 82,
  "domain": "your-business-website.com",
  "emails": ["contact@your-business-website.com"],
  "contactPageUrl": "https://your-business-website.com/contact",
  "technologies": ["WordPress"],
  "leadScore": 45,
  "leadScoreBreakdown": [
    { "signal": "Website fetched", "points": 10 },
    { "signal": "Business name supplied", "points": 5 },
    { "signal": "Detected technologies", "points": 4 },
    { "signal": "Same-domain email found", "points": 18 },
    { "signal": "Contact page found", "points": 8 }
  ],
  "evidence": [
    { "field": "email", "value": "contact@your-business-website.com", "sourceUrl": "https://your-business-website.com/contact" }
  ]
}

Illustrative example, not a real business.

How the lead score works

A fetched website starts at 10 points. A supplied name adds 5, a phone 8, a rating of at least 4.2 adds 4, and at least 25 reviews add 4. Each detected technology adds 4 (max 28). A same-domain email adds 18; LinkedIn, contact page, and pricing page add 8 each; ecommerce adds 10, CRM or marketing tools 10, chat 6, and ad tags 6. Capped at 100. It measures available signals, not buying intent.

Use cases

• Local lead generation - add emails to Maps lists of dentists, plumbers, restaurants, agencies, and more.
• Web design and SEO agencies - find local businesses on Wix or old WordPress, or without analytics.
• CRM enrichment - add contacts and social links to existing records via originalRecord join keys.
• Automations - trigger this Actor after a Google Maps scraper run in n8n, Make, Zapier, or Apify integrations.

Integrations and API

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("groupoject/google-maps-lead-enricher").call(run_input={
    "datasetIds": ["YOUR_GOOGLE_MAPS_DATASET_ID"],
    "urls": [],
    "maxBusinesses": 100,
})
for lead in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(lead["businessName"], lead["emails"], lead["leadScore"])

Use with AI agents (MCP)

Connect the Apify MCP server at https://mcp.apify.com?tools=groupoject/google-maps-lead-enricher in Claude Desktop, Cursor, VS Code or any MCP client, and your AI assistant can call this actor as a tool. Example prompt: "Take these Google Maps business URLs, find each business's email and social links, and give me a CSV."

FAQ

Does it scrape Google Maps itself? No. It enriches records you already have. Pair it with any Google Maps scraper.

Are emails verified? No. They are addresses published on the business website. Verify before large campaigns.

Does it find personal or employee emails? No. It only keeps addresses on the business's own website domain and does not guess or look up people.

Does it render JavaScript? No. It reads server-returned HTML. Contacts injected only by JavaScript or shown as images can be missed.

Is it legal? It reads public business websites. You are responsible for GDPR, CAN-SPAM, and other rules when storing or contacting businesses.

Related Actors

• Contact Details Scraper - the same contact and tech-stack extraction for plain domain lists, priced per website.
• Technical SEO Audit Crawler - audit a local business site before pitching SEO.